A customized base liquor anti-theft and anti-migration monitoring and analyzing system

Abstract

The application discloses a kind of customized base liquor theft prevention and migration monitoring analysis system, it is related to base liquor customization technical field, including weight sensor, monitoring camera, data acquisition module, data analysis module and abnormal feedback module, information interaction is carried out between each module based on digital signal.This application uses the cooperation of weight sensor and monitoring camera, so that the weight sensor is monitored to change the weight of customized base liquor, ensure that customized base liquor does not appear larger change in short term, so as to avoid theft or movement of customized base liquor in short term;The application uses monitoring camera to monitor customized base liquor in real time, realize the traceability of the weight change moment of customized base liquor, that is, when the weight change of weight sensor is passed, the current time customized base liquor image is acquired using monitoring camera, for realizing the acquisition of abnormality, and for realizing the feedback acquisition and traceability of abnormality.

Description

Technical Field

[0001] This invention relates to the field of raw wine customization technology, specifically a customized raw wine anti-theft and anti-migration monitoring and analysis system. Background Technology

[0002] Traditional wine is a liquid made by mixing base wine, alcohol, flavorings and water. Moderate consumption of wine is generally beneficial to health. However, excessive consumption of wine can suppress the respiratory center of patients and cause respiratory arrest. Therefore, some drinkers have high requirements for wine, and there is an industry for custom-made base wine.

[0003] Specifically, when customizing base liquor, customers need to select the corresponding raw materials to add according to their own taste. Then, the customization team makes the customized base liquor and gives it to the customer for tasting until the customer confirms that the taste of the customized base liquor meets the requirements. Then, the quantity of customized base liquor is determined, the base liquor is customized according to the customer's needs, and the base liquor is stored and brewed. Finally, the base liquor brewed from the base liquor is sold to the customer, thus completing the customized base liquor process.

[0004] In the above technical solutions, since the raw materials for customized base wine vary in price depending on different needs, the overall value of the customized base wine varies. Therefore, the security of the customized base wine is extremely important during the storage and brewing process. Thus, anti-theft measures are required. Typically, surveillance cameras are installed in the storage cellar to monitor the customized base wine and prevent it from being replaced. However, there are personnel moving around the storage cellar. When these personnel steal a small amount of base wine, it is not easy to detect. Furthermore, because these personnel move around frequently, even if it is known that the base wine has been stolen, it is not easy to investigate and identify the thieves, resulting in losses that are difficult to trace. Summary of the Invention

[0005] The purpose of this invention is to provide a customized monitoring and analysis system for preventing theft and migration of raw wine.

[0006] The technical problem solved by this invention is to address the issue that in the prior art, when anti-theft is achieved solely through surveillance cameras, customized raw wine is easily replaced, and since customized raw wine cannot be opened before delivery, it is difficult to trace the replaced customized raw wine.

[0007] This invention can be achieved through the following technical solution: a customized anti-theft and anti-migration monitoring and analysis system for raw wine, including a weight sensor, a monitoring camera, a data acquisition module, a data analysis module, and an anomaly feedback module, wherein the modules interact with each other based on digital signals;

[0008] Customized base liquor is placed on a weight sensor to monitor its weight.

[0009] Surveillance cameras are located inside the storage facility to monitor the movement of people leaving the storage facility;

[0010] The data acquisition module is used to acquire weight change curves from the weight sensor and to acquire monitoring images from the surveillance camera.

[0011] The data analysis module is used to process data from the data acquisition module and obtain abnormal feedback records based on the weight change curve and monitoring screen.

[0012] The anomaly feedback module retrieves anomaly feedback records and notifies staff to handle the abnormal locations.

[0013] A further technical improvement of the present invention is that the data analysis module includes a process graph establishment unit, an anomaly diagnosis unit, and a signal analysis unit, and the units interact with each other through digital signals;

[0014] The process graph establishment unit is used to collect weight change curves and monitoring screens, match the weight change curves to the monitoring screens according to the monitoring time, and store the resulting mixed screens in the database.

[0015] The anomaly diagnosis unit is used to retrieve the mixed images from the database and automatically analyze the mixed images to generate abnormal data points. It then compares and analyzes the abnormal data points with the abnormal data in the anomaly database, calculates the similarity, generates confirmed points, and stores the confirmed points in the database.

[0016] The signal analysis unit is used to obtain a specific point from the database, capture a mixed image of the specific point within a set time range, and obtain the personal information of the mobile personnel entering the specific point from the database.

[0017] A further technical improvement of the present invention lies in the following: the specific analysis steps of the abnormality diagnosis unit are as follows:

[0018] Acquire the mixed image, and separately acquire the weight change curve and the monitoring image in the mixed image, and monitor the peak change and curvature of the weight change curve;

[0019] The peak value of the weight change curve is recorded as the peak value Wt. When Wt is less than WT1 or WT is greater than WT2, the monitoring screen at the time point corresponding to Wt is recorded as the first abnormal data point.

[0020] The curvature of the weight change curve is recorded as Kt. When Kt is found to be greater than KT1, the monitoring screen at the time point corresponding to Kt is recorded as the second abnormal data point.

[0021] Obtain the abnormal data point one and the abnormal data point two, respectively capture consecutive images of the monitoring screens corresponding to each of the abnormal data point one and the abnormal data point two, and record the number of people flowing and the information of the flowing people in the consecutive images;

[0022] Retrieve the abnormal data point one and the abnormal data point two, capture the position of the customized base liquor on the monitoring screen, and determine whether there is occlusion at the position of the customized base liquor. If there is occlusion, perform secondary processing on the abnormal data point to obtain a comparison value, and compare the comparison value with the abnormal data in the abnormal database. If the comparison value is greater than the set value, record this abnormal data point as a determination point;

[0023] WT1 < WT2, WT1 and WT2 are set values, and KT1 is a set value.

[0024] A further technical improvement of the present invention is that: the steps for determining the comparison value are as follows:

[0025] Use the formula to obtain the comparison value, where a is a coefficient factor, m2 is the shooting area of the customized base liquor, m1 is the occluded area of the customized base liquor, NZ is the comparison value, and obtain the magnitude of the comparison value;

[0026] Retrieve the range data NZ1 and NZ2 in the abnormal database, NZ1 > NZ2, and determine the size relationship between NZ and the range data; when NZ > NZ1, determine that this abnormal data point is a determination point; when NZ2 > NZ > NZ1, determine that this abnormal data point is an uncertain point; if NZ < NZ1, determine that this abnormal point is a normal point;

[0027] Store the determination points and the uncertain points into the database according to the data type.

[0028] A further technical improvement of the present invention is that: the analysis steps of the signal analysis unit are as follows:

[0029] Obtain the determination points and the uncertain points in the database, and obtain the consecutive images intercepted in the monitoring screens corresponding to each determination point and uncertain point, store the consecutive images in the database according to the time of the determination points and the uncertain points, and associate the file naming of the consecutive images with the naming of the determination points and the uncertain points;

[0030] Obtain the time of the determination points and the uncertain points, and obtain the information of the flowing people entering the repository at the current time point, including the names, work contents, time periods in the repository, and leaving times in the repository of the flowing people;

[0031] Integrate the personnel information, the determination points or the uncertain points, and the comparison values into a data packet, and store the data packet in the database.

[0032] A further technical improvement of the present invention is that the working steps of the anomaly feedback module are as follows:

[0033] Obtain the definite points and uncertain points, retrieve the data packets corresponding to the definite points and uncertain points, arrange the data packets according to the size of the comparison value, and display the data packets on the staff's computer desktop in the form of desktop icons;

[0034] Staff members open the data packets one by one, manually analyze the mixed images inside the data packets based on personnel information, and make anomaly judgments. If the anomaly judgment is that there is no anomaly, the anomaly judgment is associated with the confirmed and uncertain points, and the resulting anomaly judgment is integrated into the data packet and stored. If the anomaly judgment is that there is an anomaly, it is handled manually.

[0035] When selling customized original wine to customers, a data package stored in the cloud can be retrieved by printing a QR code on the bottle.

[0036] A further technical improvement of the present invention is that the working process of the weight sensor includes:

[0037] Place the weight sensor at a fixed point, place the customized original wine on the weight sensor, and record the initial weight as G1. According to the resting time T, obtain several intermediate weights Gt, where t is the sampling time. At time T, obtain the final weight G2.

[0038] The average weight is obtained using the formula. GP was used as the comparative weight of the custom-made base spirit.

[0039] A further technical improvement of the present invention is that the working process of the surveillance camera includes:

[0040] The customized raw liquor is placed on the placement rack, and several placement cavities are set on each placement rack. Weight sensors are placed inside the placement cavities, and multiple sets of monitoring cameras are placed horizontally on the side of the placement rack to monitor each placement cavity.

[0041] The surveillance cameras calculate the area occupied by each custom-made liquor inside the placement chamber according to the shooting angle, and record the occupied area in the database.

[0042] A further technical improvement of the present invention is that it also includes an electronic combination lock, which is controlled by the electronic combination lock on the lid of the wine jar for customized raw wine. The electronic combination lock is equipped with a wireless transmission module, which transmits the signal of the electronic combination lock to the user terminal.

[0043] A further technical improvement of the present invention is that the electronic combination lock adopts dynamic password control, the electronic combination lock is equipped with a dynamic storage module, the dynamic storage module is equipped with multiple sets of dynamic passwords, the dynamic passwords are changed at regular intervals, the dynamic storage module obtains abnormal data points, and updates the dynamic passwords at the abnormal data points.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] 1. This application employs the combined function of a weight sensor and a monitoring camera to monitor the weight changes of the customized raw liquor using the weight sensor, ensuring that the customized raw liquor will not undergo significant changes in a short period of time, thereby preventing the theft or movement of the customized raw liquor in the short term; this application uses a monitoring camera to monitor the customized raw liquor in real time, realizing the tracking of the moment when the weight of the customized raw liquor changes, that is, when the weight changes through the weight sensor, the monitoring camera uses the image of the customized raw liquor at the current moment to realize the detection of anomalies, and to realize the feedback acquisition and tracking of anomalies.

[0046] 2. This application uses a process graph establishment unit, which collects weight change curves and monitoring screens, and matches the weight change curves to the monitoring screens according to the monitoring time to obtain a mixed screen. This means that each frame of the screen can be set with the weight change curve reaching the current frame's time point, which is used to match the weight of the customized raw wine with the monitoring screens. This allows for intuitive observation of whether any abnormalities occur, facilitating the analysis of abnormalities.

[0047] 3. This application adopts the method of registering the information of personnel entering the storage warehouse to determine whether there are personnel in the storage warehouse when an anomaly occurs, as well as the information of the personnel. This allows for the investigation to find out the reason for the change in the weight of the customized raw wine, making it easier to trace when the weight of the customized raw wine changes, quickly handle the anomaly, and avoid the problem of not being able to determine whether the customized raw wine has been replaced before it has been opened and tasted.

[0048] 4. This application uses definite points and indefinite points, and arranges the definite points and indefinite points in a way that displays the data packet as a desktop image on the staff's computer desktop. This makes it easy for staff to judge each abnormal registration one by one. According to the above arrangement, the data packet is stored in the cloud, and then the cloud traceability QR code is placed on the wine bottle to facilitate the customer to trace and determine the abnormal indefinite points.

[0049] 5. This application uses an electronic combination lock to seal the wine jars containing the customized raw wine, thus protecting the customized raw wine. Furthermore, this application employs a dynamic password, meaning the password for the electronic combination lock is changed periodically, and the dynamic password is sent to the user terminal via a wireless transmission module. This dynamic password further prevents the theft of the customized raw wine. In this application, an abnormal data point is obtained through a dynamic storage module. That is, when the weight sensor detects an abnormal weight, the dynamic password is updated in a timely manner, further protecting the customized raw wine. Attached Figure Description

[0050] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0051] Figure 1 This is a schematic diagram of the principle of the present invention;

[0052] Figure 2 This is a schematic diagram of the placement support structure of the present invention;

[0053] Figure 3 This is a schematic diagram illustrating the monitoring range of the surveillance camera according to the present invention.

[0054] In the picture: 1. Placement bracket; 2. Placement cavity; 3. Surveillance camera. Detailed Implementation

[0055] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided.

[0056] Please see Figure 1-3 As shown, a customized anti-theft and anti-migration monitoring and analysis system for raw wine includes a weight sensor, a monitoring camera, a data acquisition module, a data analysis module, and an anomaly feedback module. The modules interact with each other based on digital signals.

[0057] Specifically, the storage facility is equipped with multiple rows of racks, each containing several storage chambers. Weight sensors are evenly distributed within each chamber to monitor the weight of the customized raw liquor in real time. Each chamber has an opening on only one side, allowing the liquor to be removed from that side. Multiple surveillance cameras are positioned facing the opening of each chamber to monitor the liquor. The cameras calculate the area occupied by the liquor within each chamber based on its shooting angle, and this area is recorded in a database.

[0058] Meanwhile, access control devices are installed at the entrances and exits of the storage warehouse. Personnel can enter and exit the warehouse by swiping access cards. Each access card is uniquely configured for its user and stores the user's personal information. Before using the access card, an online application must be submitted, recording the reason for entering the warehouse. The application reason is matched with the personal information stored on the access card, and then transmitted to the cloud for storage, facilitating retrieval at any time. Once personnel enter the storage warehouse, surveillance cameras monitor their movement through the storage racks, thus monitoring the flow of personnel leaving the warehouse.

[0059] The data acquisition module is used to collect weight change curves from the weight sensor and monitoring images from the surveillance camera. Then, the data analysis module is used to process the data from the data acquisition module, obtain anomaly feedback records based on the weight change curves and monitoring images, and notify staff to handle the abnormal points.

[0060] Specifically, a monitoring and processing process for customized raw liquor is constructed through a data acquisition module, a data analysis module, and an anomaly feedback module to prevent the customized raw liquor from being moved or stolen. Therefore, the data acquisition module is used to collect the storage cavity where the customized raw liquor belongs and to monitor the customized raw liquor in real time, thereby realizing the capture of information about the customized raw liquor. At the same time, the data analysis module is used to process and analyze the data involved in the customized raw liquor in real time. Since the data of customized raw liquor changes over time, the data analysis module is used to monitor the data of customized raw liquor.

[0061] The data analysis module includes a process graph establishment unit, an anomaly diagnosis unit, and a signal analysis unit, and the units interact with each other through digital signals.

[0062] The process map building unit is used to collect the weight change curve and the monitoring screen, match the weight change curve to the monitoring screen according to the monitoring time, that is, there is a weight change curve from the start time to the current time on each frame of the monitoring screen, and store the obtained mixed screen in the database. That is, when retrieving each frame of the monitoring screen, the weight change curve can be directly seen; the abnormal diagnosis unit is used to obtain the mixed screen from the database, automatically analyze the mixed screen, generate abnormal data points, compare and analyze the abnormal data points with the abnormal data in the abnormal database, calculate the similarity, generate a determination point, and store the determination point in the database. That is, in this process, when analyzing the mixed screen, it is calculated and analyzed through the weight change curve and the occlusion prevention range to obtain the abnormal data points; the signal analysis unit is used to obtain the determination point from the database, intercept the mixed screen within the range of the set time point of the determination point, and the signal analysis unit obtains the personal information of the mobile personnel from the determination point in the database, that is, integrate the personal information of the mobile personnel with the information of the determination point for further analysis.

[0063] Since the abnormal diagnosis unit is used to obtain the mixed screen from the database, automatically analyze the mixed screen, generate abnormal data points, compare and analyze the abnormal data points with the abnormal data in the abnormal database, calculate the similarity, generate a determination point, and store the determination point in the database, for the above abnormal diagnosis unit, the specific analysis steps of the abnormal diagnosis unit are as follows: obtain the mixed screen, separately obtain the weight change curve and the monitoring screen in the mixed screen, monitor the peak change of the weight change curve and the change curvature of the weight change curve, and obtain a more accurate customized wine weight change moment by separately analyzing the peak change and the change curvature of the weight change curve; record the peak of the weight change curve as peak Wt, when it is monitored that Wt is less than WT1 or WT is greater than WT2, record the monitoring screen at the time point corresponding to Wt as abnormal data point one; record the change curvature of the weight change curve as Kt, when it is monitored that Kt is greater than KT1, record the monitoring screen at the time point corresponding to Kt as abnormal data point two; obtain abnormal data point one and abnormal data point two, separately intercept consecutive screens for the monitoring screens corresponding to each abnormal data point one and abnormal data point two, and record the number of personnel flows and the information of the mobile personnel in the consecutive screens; retrieve abnormal data point one and abnormal data point two, capture the position of the customized original wine on the monitoring screen, and judge whether there is occlusion at the position of the customized original wine. If there is occlusion, perform secondary processing on the abnormal data points formed by the combination of abnormal data point one and abnormal data point two to obtain a comparison value, compare the comparison value with the abnormal data in the abnormal database, and if the comparison value is greater than the set value, record the abnormal data point as a determination point; WT1 < WT2, WT1 and WT2 are set values, and KT1 is a set value;

[0064] That is, by using the formula to obtain the comparison value, where a is the coefficient factor, m2 is the photographed area of the customized base wine, m1 is the area of the customized base wine blocked, NZ is the comparison value, and the size of the comparison value is obtained; retrieve the range data NZ1 and NZ2 in the abnormal database, NZ1 > NZ2, and judge the size relationship between NZ and the range data; when NZ > NZ1, judge that the abnormal data point is a definite point; when NZ2 > NZ > NZ1, judge that the abnormal data point is an indefinite point; if NZ < NZ1, judge that the abnormal point is a normal point; store the definite points and indefinite points in the database according to the data type. At this time, the definite points in the database are placed in the definite abnormal library, and the indefinite points are placed in the non-necessary library. When using, by retrieving the data in the definite library and the data in the non-necessary library, when retrieving them, sort them. At this time, the data in the non-necessary library are arranged after the data in the definite library.

[0065] The specific processing process of the definite library and the non-necessary library is the analysis step of the signal analysis unit. Specifically, it is to obtain the definite points in the definite library and the indefinite points in the non-necessary library, and obtain the continuous pictures intercepted in the monitoring pictures corresponding to each definite point and indefinite point, and store the continuous pictures in the database according to the time of the definite points and indefinite points. The file naming of the continuous pictures is associated with the naming of the definite points and indefinite points. That is, for example, the continuous picture is named definite point number + picture time and indefinite point number + picture time; obtain the time of the definite points and indefinite points, and obtain the information of the flowing personnel entering the storage library at the current time point, including the name of the flowing personnel, the work content, the time period in the storage library, and the leaving time in the storage library; that is, perform a set processing on the continuous pictures and the information of the flowing personnel, that is, integrate the personnel information, the definite point or the indefinite point, and the comparison value into a data packet, and store the data packet in the database. At this time, the data packet is named definite point number + picture time + flowing personnel name or indefinite point number + picture time + flowing personnel name.

[0066] To enable feedback processing of abnormal data, the abnormal feedback module operates as follows: It acquires confirmed and uncertain points, retrieves the data packets corresponding to the confirmed and uncertain points, and arranges the data packets according to the comparison values, with confirmed points preceding uncertain points. Confirmed points are then arranged in order of comparison value, with larger comparison values ​​placed first. Similarly, uncertain points are arranged in order of comparison value, with larger comparison values ​​placed first. The data packets are displayed as desktop icons on the worker's computer desktop with a warning message. These icons have flashing dots to alert the worker until they click on the desktop icon to obtain the set of confirmed and uncertain points. Staff members open the data packets one by one, manually analyze the mixed images within the packets based on personnel information, and determine whether there are any anomalies in the current weight data. If no anomalies are determined, the anomaly determination is associated with the confirmed and uncertain points, and the resulting anomaly determination is integrated into the data packet, which is then stored. If anomalies are determined, manual processing is performed to trace the customized raw wine. The aforementioned data packets are stored in the cloud, and each data packet integrates a set of specific information on the confirmed and uncertain points, which can be sorted by time or by comparison value. When the customized raw wine is sold to customers, the data packets stored in the cloud can be retrieved by printing a QR code on the bottle.

[0067] The process of obtaining the weight of customized raw liquor using a weight sensor includes: placing the weight sensor at a fixed location, placing the customized raw liquor on the weight sensor, recording the initial weight as G1, obtaining several intermediate weights Gt over a settling time T (where t is the sampling time), obtaining the final weight G2 at time T, and finally calculating the average weight using a formula. Using GP as a comparison weight for custom-made base wine means that when the quality of the custom-made base wine is lower or higher than GP, ​​it will cause an abnormal weight of the custom-made base wine. This facilitates real-time monitoring of any abnormal weight, whether someone comes into contact with the custom-made base wine or the custom-made base wine changes suddenly in a short period of time.

[0068] In order to acquire images and monitor people entering and exiting, the working process of the surveillance cameras includes: placing the customized raw wine on the placement rack, setting up several placement cavities on each rack, placing weight sensors inside the placement cavities, placing multiple sets of surveillance cameras horizontally on the side of the rack, and using the surveillance cameras to monitor each placement cavity; the surveillance cameras calculate the area occupied by the customized raw wine in each placement cavity according to the shooting angle, and record the occupied area in the database.

[0069] As a further embodiment of this application, an electronic combination lock is provided at the sealing position of the wine jar. The electronic combination lock adopts dynamic password control and the electronic password has wireless transmission function, which can realize the remote opening of the wine jar.

[0070] The specific dynamic password is stored in a dynamic storage module, which contains multiple sets that update automatically at set intervals. Updating the dynamic password protects the sealing of the wine jar. The dynamic password is changed not only based on the set update time but also when the weight sensor reading is at an abnormal data point. The current dynamic password is then wirelessly transmitted to the user for easy access.

[0071] During this process, when the weight sensor detects changes in weight, abnormal data points are processed, and the dynamic password is updated. By using an electronic combination lock, the wine jar is protected twice.

[0072] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A customized monitoring and analysis system for preventing theft and migration of raw wine, characterized in that: It includes a weight sensor, a monitoring camera, a data acquisition module, a data analysis module and an abnormal feedback module, and information interaction is carried out between each module based on digital signals; Customized original liquor is placed on the weight sensor for monitoring the weight of the customized original liquor; The monitoring camera is located in the storage repository for monitoring the flowing personnel entering and leaving the storage repository; The data acquisition module is used to acquire the weight change curve monitored by the weight sensor and the monitoring images from the monitoring camera; The data analysis module is used to process the data from the data acquisition module and obtain abnormal feedback records according to the weight change curve and the monitoring images; The data analysis module includes a process map building unit, an abnormal diagnosis unit and a signal analysis unit, and interaction is carried out between each unit through digital signals; The process map building unit is used to acquire the weight change curve and the monitoring images, match the weight change curve to the monitoring images according to the monitoring time, and store the obtained mixed images in the database; The specific analysis steps of the abnormal diagnosis unit are as follows: Obtain the mixed images, respectively obtain the weight change curve and the monitoring images in the mixed images, and monitor the peak change and the change curvature of the weight change curve; Record the peak value of the weight change curve as peak Wt. When it is monitored that Wt is less than WT1 or WT is greater than WT2, record the monitoring image at the time point corresponding to Wt as the first abnormal data point. WT1 < WT2, and WT1 and WT2 are set values; Record the change curvature of the weight change curve as Kt. When it is monitored that Kt is greater than KT1, record the monitoring image at the time point corresponding to Kt as the second abnormal data point. KT1 is a set value; Obtain the first abnormal data point and the second abnormal data point, respectively intercept continuous images of the monitoring images corresponding to each first abnormal data point and the second abnormal data point, and record the number of personnel flows and the information of the flowing personnel in the continuous images; Retrieve the first abnormal data point and the second abnormal data point, capture the position of the customized original liquor on the monitoring image, and judge whether there is occlusion at the position of the customized original liquor. If there is occlusion, perform secondary processing on the abnormal data point to obtain a comparison value; The determination steps of the comparison value are as follows: Using the formula NZ= The comparison value is obtained, where a is the coefficient factor, m2 is the shooting area of ​​the customized original wine, m1 is the area of ​​the customized original wine that is obscured, and NZ is the comparison value. The size of the comparison value is obtained. Retrieve the range data NZ1 and NZ2 in the abnormal database. NZ1 > NZ2, and judge the size relationship between NZ and the range data. When NZ > NZ1, judge that this abnormal data point is a determined point; when NZ2 > NZ > NZ1, judge that this abnormal data point is an uncertain point; if NZ < NZ1, judge that this abnormal data point is a normal point; Store the determined points and the uncertain points in the database according to the data type; The signal analysis unit is used to obtain the determined points from the database, intercept the mixed images within the range of the set time point of the determined points, and the signal analysis unit obtains the personal information of the flowing personnel entering among the determined points from the database; The abnormal feedback module obtains the abnormal feedback records and notifies the staff to process the abnormal data points.

2. The customized original wine anti-theft and anti-migration monitoring and analysis system according to claim 1, characterized in that, The analysis steps of the signal analysis unit are as follows: Obtain the definite and indefinite points from the database, and obtain the continuous images captured from the monitoring screen corresponding to each definite and indefinite point. Store the continuous images in the database according to the time of the definite and indefinite points, and associate the file name of the continuous images with the names of the definite and indefinite points. Obtain the time of both the fixed and uncertain points, and obtain information on the personnel entering the repository at the current time, including their name, job content, time spent in the repository, and departure time. Personnel information, confirmed or uncertain points, and comparison values ​​are integrated into a data packet, which is then stored in a database.

3. The customized original wine anti-theft and anti-migration monitoring and analysis system according to claim 1, characterized in that, The working steps of the anomaly feedback module are as follows: Obtain the definite points and uncertain points, retrieve the data packets corresponding to the definite points and uncertain points, arrange the data packets according to the size of the comparison value, and display the data packets on the staff's computer desktop in the form of desktop icons; Staff members open the data packets one by one, manually analyze the mixed images inside the data packets based on personnel information, and make anomaly judgments. If the anomaly judgment is that there is no anomaly, the anomaly judgment is associated with the confirmed and uncertain points, and the resulting anomaly judgment is integrated into the data packet and stored. If the anomaly judgment is that there is an anomaly, it is handled manually. When selling customized original wine to customers, a data package stored in the cloud can be retrieved by printing a QR code on the bottle.

4. The customized original wine anti-theft and anti-migration monitoring and analysis system according to claim 1, characterized in that, The working process of the weight sensor includes: Place the weight sensor at a fixed point, place the customized original wine on the weight sensor, and record the initial weight as G1. According to the resting time T, obtain several intermediate weights Gt, where t is the sampling time. At time T, obtain the final weight G2. The average weight GP is obtained from the formula: GP was used as the comparative weight of the custom-made base spirit.

5. A customized monitoring and analysis system for preventing theft and migration of raw wine according to claim 1, characterized in that, The operation process of the surveillance camera includes: The customized raw liquor is placed on the placement rack, and several placement cavities are set on each placement rack. Weight sensors are placed inside the placement cavities, and multiple sets of monitoring cameras are placed horizontally on the side of the placement rack to monitor each placement cavity. The surveillance cameras calculate the area occupied by each custom-made liquor inside the placement chamber according to the shooting angle, and record the occupied area in the database.

6. The customized original wine anti-theft and anti-migration monitoring and analysis system according to claim 1, characterized in that, It also includes an electronic combination lock, which is controlled by an electronic combination lock on the lid of the wine jar for customized raw wine. The electronic combination lock is equipped with a wireless transmission module, which transmits the signal of the electronic combination lock to the user terminal.

7. A customized original wine anti-theft and anti-migration monitoring and analysis system according to claim 6, characterized in that, The electronic combination lock uses dynamic password control. The electronic combination lock is equipped with a dynamic storage module, which contains multiple sets of dynamic passwords. The dynamic passwords are changed periodically. The dynamic storage module acquires abnormal data points and updates the dynamic passwords at those abnormal data points.

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